Instruction detection technology is core in instruction detection system , it include abnormity instruction and abused instruction detection , on the basis of traditional network security model , ppdr model , instruction detection principle and instruction technology analysis , the author has brought forward instruction detection method based genetic neural networks , adopted genetic algometry and bp neural networks union method , and applied in instruction detection system , solve traditional bp algometry lie in absence about constringency rate slowly and immersion minim value 入侵檢測分析技術(shù)是入侵檢測系統(tǒng)的核心,主要分為異常入侵檢測和誤用入侵檢測。作者在對傳統(tǒng)網(wǎng)絡(luò)安全模型、 ppdr模型、入侵檢測原理以及常用入侵檢測技術(shù)進行比較分析的基礎(chǔ)上,提出了一個基于遺傳神經(jīng)網(wǎng)絡(luò)的入侵檢測方法,采用遺傳算法和bp神經(jīng)網(wǎng)絡(luò)相結(jié)合的方法?遺傳神經(jīng)網(wǎng)絡(luò)應(yīng)用于入侵檢測系統(tǒng)中,解決了傳統(tǒng)的bp算法的收斂速度慢、易陷入局部最小點的問題。